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CBR-based integration of a hydrodynamic and water quality model and GISa case study of Chaohu City

机译:基于CBR的流体动力学和水质模型整合及巢湖市GISA案例研究

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摘要

Monitoring on urban water environment and analysis of engineering improvement measures are intricate and time-consuming tasks. In previous studies, the integration of hydrodynamic and water quality models and geographical information system (GIS) usually takes three approaches: loose coupling, tight coupling, and full coupling. However, this paper adopted a special loose coupling approachcase-based reasoning (CBR) to develop an integrated decision support system. This was characterized by invoking the case base stored in the GIS platform as the output of the model. The fused capability of model's water quality predication and strong spatial data processing analysis of GIS can be realized at the same time by integration. The functionality of the integrated system was illustrated through a case study of Chaohu, a medium-sized city in China, which includes case retrieval, result interpretation, and the visual display in the GIS platform. Results verified the feasibility and operability of the developed method. As a useful tool, the integrated decision support system makes it simpler and more convenient for decision makers to make decisions efficiently and quickly.
机译:对城市水环境监测及工程改进措施分析是复杂的和耗时的任务。在以前的研究中,流体动力学和水质模型的整合和地理信息系统(GIS)通常采用三种方法:松散耦合,紧密耦合和完全耦合。但是,本文采用了一种特殊的松散耦合方法 - 基于耦合的推理(CBR),以开发综合决策支持系统。这是通过调用存储在GIS平台中的案例基础作为模型的输出来表征。模型水质预测和GIS强的空间数据处理分析的融合能力可以通过集成同时实现。通过巢湖,中国中型城市的案例研究说明了集成系统的功能,包括案例检索,结果解释和GIS平台中的视觉显示。结果验证了开发方法的可行性和可操作性。作为一个有用的工具,综合决策支持系统使决策者更简单,更方便,有效快速地做出决策。

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